Data Visualization
Data Visualization
Data visualization is the graphical representation of data to understand patterns, trends, and relationships.
Primary Types of Data Visualization in Data Science
1. Bar Chart
Use Case:
Compare values across categories
Show differences between groups
Example:
Comparing sales of different products
Number of students in different courses
Example:
If a company wants to compare sales of Product A, B, and C, a bar chart clearly shows which product performs best.
2. Line Chart
Use Case:
Show trends over time
Analyze continuous data
Example:
Stock market price changes
Monthly revenue growth
Temperature changes over days
Example:
Tracking monthly revenue growth of a company over one year.
2. Pie Chart
Use Case:
Show percentage distribution
Represent parts of a whole
Example:
Market share of companies
Budget allocation
Example:
Showing how 100% budget is divided among marketing, production, and research.
3. Histogram
Use Case:
Show frequency distribution
Understand data spread and skewness
Example:
Distribution of exam scores
Age distribution of customers
Example:
Analyzing how many students scored between 60–70, 70–80, etc.
5. Scatter Plot
Use Case:
Show relationship between two variables
Identify correlation or outliers
Example:
Height vs Weight
Advertising cost vs Sales
Example:
If advertising increases and sales also increase, scatter plot shows positive correlation.